Table 3. Predictors of hospital admission and costs in type 1 and type 2 diabetes.
|
aPart 1: predictors of hospital admission |
Part 2: predictors of annual cost of at least 1 admission per year |
|||
|---|---|---|---|---|
| Model Coef. | Odds ratio (95% CI) | Model Coef. | Cost ratio (95% CI) | |
| Type 1 | ||||
| Male | −0.277 | 0.758 (0.722, 0.797) | 0.007 | 1.007 (0.950, 1.067) |
| Age (years) | 0.006 | 1.006 (1.004, 1.008) | 0.012 | 1.012 (1.010, 1.014) |
| Previous vascular admission | 0.849 | 2.337 (2.133, 2.562) | 0.196 | 1.216 (1.033, 1.306) |
| Diabetes duration (years) | 0.006 | 1.006 (1.005, 1.007) | 0.000 | 1.000 (0.998, 1.003) |
| Creatinine (μmol/l) | 0.006 | 1.006 (1.005, 1.007) | 0.003 | 1.003 (1.002, 1.003) |
| BMI (kg/m2) | −0.017 | 0.983 (0.978, 0.989) | −0.006 | 0.994 (0.988, 1.000) |
| HbA1c (%) | 0.181 | 1.198 (1.181, 1.216) | 0.006 | 1.006 (0.991, 1.021) |
| constant | −-3.144 | 0.043 (0.035, 0.053) | 7.615 | 2028 (1580, 2604) |
| Type 2 | ||||
| Male | −0.131 | 0.877 (0.862, 0.892) | 0.033 | 1.033 (1.015, 1.052) |
| Age (years) | 0.018 | 1.019 (1.017, 1.020) | 0.006 | 1.006 (1.005, 1.007) |
| Previous vascular admission | 0.494 | 1.639 (1.606, 1.672) | 0.059 | 1.061 (1.040, 1.081) |
| On insulin | 0.498 | 1.646 (1.609, 1.684) | 0.153 | 1.166 (1.137, 1.199) |
| Diabetes duration (years) | 0.015 | 1.015 (1.014, 1.016) | 0.001 | 1.001 (1.000, 1.003) |
| Creatinine (μmol/l) | 0.005 | 1.005 (1.004, 1.005) | 0.001 | 1.001 (1.001, 1.002) |
| BMI (kg/m2) | −0.004 | 0.996 (0.995, 0.998) | −0.008 | 0.992 (0.990, 0.994) |
| HbA1c (%) | −0.042 | 0.969 (0.953, 0.964) | −0.031 | 0.969 (0.960, 0.978) |
| constant | −2.566 | 0.077 (0.080, 0.085) | 8.455 | 4699 (4083, 5507) |
a
Part 1 is derived using a logistic regression model. Part 2 is conditional on at least one admission occurring within a given year and is derived from a generalised linear model. The number of people included in the models were 19,753 for type 1 and 154,044 for type 2 diabetes.